Professor Darling from the Claremont Graduate School spoke about harnessing AI for transformational justice at the commencement today.

These sources discuss the increasing integration of artificial intelligence (AI) and data analysis within the justice system and related fields, including human rights and transitional justice. They highlight the potential benefits of AI, such as improving efficiency, analyzing large datasets, and supporting practices like restorative justice and transitional justice mechanisms, while also acknowledging significant concerns. Key issues raised include the risk of perpetuating and amplifying existing biases, particularly against marginalized groups, the importance of data accuracy, privacy, and security, and the need for human oversight and a victim-centered approach when implementing AI technologies. The texts emphasize that careful consideration, ethical frameworks, and potentially new regulatory structures are crucial for harnessing AI for good and mitigating its potential harms in these sensitive domains.

Sources:

AI sentencing cut jail time for low-risk offenders, but study finds racial bias persisted - News

Artificial Intelligence (AI) & Restorative Justice | RJ Webinar series by Prof. Gavrielides E23

Artificial Intelligence and Transitional Justice: Framing the Connections - Impunity Watch

How Artificial Intelligence Can Deepen Racial and Economic Inequities | ACLU

How to Harness AI for Justice - Judicature - Duke University

Publish_26 STLR 316 (2023)_The Use of Artificial Intelligence in International Human Rights Law

Top 50 NGOs Leveraging AI to Drive Social Impact and Address Global Challenges

Toward a Theory of Justice for Artificial Intelligence | Daedalus - MIT Press Direct

Unlocking justice: the crucial role of data in the criminal justice system